Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

799
Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
799

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Modeling TCR-Epitope Recognition Specificity: What We Should Learn to Succeed.

Immunological reviews·2026
Same author

Advances in predicting T cell epitope recognition for cancer immunotherapy.

Nature cancer·2026
Same author

Engineered CD4 TCR T cells with conserved high-affinity TCRs targeting NY-ESO-1 for advanced cellular therapies in cancer.

Science advances·2025
Same author

Phage display enables machine learning discovery of cancer antigen-specific TCRs.

Science advances·2025
Same author

Predicting MHC-I ligands across alleles and species: how far can we go?

Genome medicine·2025
Same author

Donor HLA-DQ genetic and functional divergence affect the control of BK polyoma virus infection after kidney transplantation.

Science advances·2025

相关实验视频

Updated: Sep 11, 2025

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens
09:53

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

Published on: February 6, 2017

11.5K

预测TCR-表位识别:我们有多好?

David Gfeller1

  • 1Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland; Agora Cancer Research Centre, 1011 Lausanne, Switzerland; Swiss Cancer Center Leman (SCCL).

Cell genomics
|August 14, 2025
PubMed
概括

准确的T细胞受体 (TCR) 和表皮质相互作用预测对于诊断和药物发现至关重要. 一个新的框架对这些预测进行了基准测试,强调需要了解当前的方法,以实现未来的改进.

科学领域:

  • 免疫学 免疫学 免疫学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 准确预测T细胞受体 (TCR) -表位相互作用对于推进诊断和TCR发现至关重要.
  • 了解TCR曲目对个性化医学和治疗开发具有重大潜力.
  • 当前的预测方法需要严格的基准测试来评估它们的优势和局限性.

研究的目的:

  • 开发和介绍一个简化的框架,用于对TCR-epitope相互作用预测方法进行基准测试.
  • 为预测TCR-Epitope识别提供现有计算方法的批判性评估.
  • 引导未来的研究,以提高TCR-表皮质相互作用预测的准确性和范围.

主要方法:

  • 为TCR-epitope预测算法开发一个标准化的基准测试框架.
  • 使用已建立的数据集对各种预测方法的系统评估.
  • 基于准确性,灵敏性和特异性的算法性能进行比较分析.

主要成果:

  • 该研究引入了一个强大的框架,使得TCR-epitope预测工具的标准化比较成为可能.
  • 在各种现有的预测方法中确定了关键的优势和局限性.
  • 建立了对绩效指标的基准,这些指标对于该领域的发展至关重要.

更多相关视频

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
07:59

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

Published on: March 25, 2014

15.1K
Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay
19:05

Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay

Published on: October 30, 2015

12.5K

相关实验视频

Last Updated: Sep 11, 2025

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens
09:53

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

Published on: February 6, 2017

11.5K
A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
07:59

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

Published on: March 25, 2014

15.1K
Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay
19:05

Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay

Published on: October 30, 2015

12.5K

结论:

  • 全面了解当前TCR-epitope预测工具的性能是必不可少的.
  • 开发的框架有助于识别优秀的方法和需要改进的领域.
  • 预测模型的进一步完善是必要的,以充分利用TCR曲目数据用于临床应用.